keras_deep_mlp: keras deep mlp

Description Usage Arguments Value

Description

Word Embedding + Deep Multilayer Perceptron

Usage

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keras_deep_mlp(input_dim, embed_dim = 64, seq_len, hidden_dims = c(256,
  128, 64), hidden_fun = "relu", output_fun = "softmax", output_dim)

Arguments

input_dim

Number of unique vocabluary/tokens

embed_dim

Number of word vectors

seq_len

Length of the input sequences

hidden_dims

Number of neurons per layer as vector of integers c(256, 128, 64)

hidden_fun

Hidden activation function ("relu" by default)

output_fun

Output activation function

output_dim

Number of neurons of the output layer

Value

keras model


systats/textlearnR documentation built on May 6, 2019, 8:31 p.m.